Dell Inc. PowerEdge R510
Geekbench AI Score
342
Single Precision Score
218
Half Precision Score
539
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | Deslok |
| Upload Date | October 07 2025 07:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon X5570 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. PowerEdge R510 |
| Motherboard | Dell Inc. 0DPRKF |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5570 |
| Topology | 2 Processors, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 26 Stepping 5 |
| Base Frequency | 2.93 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
214
39.8 IPS |
|
|
Image Classification (HP)
|
100% |
87
16.2 IPS |
|
|
Image Classification (Q)
|
96% |
454
84.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
132
2.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
131
2.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
504
8.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
523
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (Q)
|
86% |
932
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.61 IPS |
|
|
Object Detection (Q)
|
58% |
312
34.1 IPS |
|
|
Face Detection (SP)
|
100% |
530
6.30 IPS |
|
|
Face Detection (HP)
|
100% |
246
2.92 IPS |
|
|
Face Detection (Q)
|
96% |
787
9.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
667
5.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
330
2.54 IPS |
|
|
Depth Estimation (Q)
|
78% |
921
7.33 IPS |
|
|
Style Transfer (SP)
|
100% |
1361
1.75 IPS |
|
|
Style Transfer (HP)
|
100% |
1335
1.72 IPS |
|
|
Style Transfer (Q)
|
87% |
1673
2.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
238
8.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
219
8.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
244
326.1 IPS |
|
|
Text Classification (HP)
|
100% |
119
158.6 IPS |
|
|
Text Classification (Q)
|
97% |
134
180.1 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.28 IPS |
|
|
Machine Translation (HP)
|
100% |
145
2.50 IPS |
|
|
Machine Translation (Q)
|
68% |
419
8.10 IPS |
